Overview
Brought to you by YData
Dataset statistics
| Dataset A | Dataset B | |
|---|---|---|
| Number of variables | 12 | 12 |
| Number of observations | 446 | 446 |
| Missing cells | 437 | 426 |
| Missing cells (%) | 8.2% | 8.0% |
| Duplicate rows | 0 | 0 |
| Duplicate rows (%) | 0.0% | 0.0% |
| Total size in memory | 45.3 KiB | 45.3 KiB |
| Average record size in memory | 104.0 B | 104.0 B |
Variable types
| Dataset A | Dataset B | |
|---|---|---|
| Numeric | 5 | 5 |
| Categorical | 4 | 4 |
| Text | 3 | 3 |
| Dataset A | Dataset B | |
|---|---|---|
Sex is highly overall correlated with Survived | Sex is highly overall correlated with Survived | High correlation |
Survived is highly overall correlated with Sex | Survived is highly overall correlated with Sex | High correlation |
Age has 90 (20.2%) missing values | Age has 89 (20.0%) missing values | Missing |
Cabin has 346 (77.6%) missing values | Cabin has 336 (75.3%) missing values | Missing |
PassengerId has unique values | PassengerId has unique values | Unique |
Name has unique values | Name has unique values | Unique |
SibSp has 300 (67.3%) zeros | SibSp has 303 (67.9%) zeros | Zeros |
Parch has 328 (73.5%) zeros | Parch has 337 (75.6%) zeros | Zeros |
Fare has 5 (1.1%) zeros | Fare has 7 (1.6%) zeros | Zeros |
| Alert not present in this dataset | Fare is highly overall correlated with Pclass | High correlation |
| Alert not present in this dataset | Pclass is highly overall correlated with Fare | High correlation |
Reproduction
| Dataset A | Dataset B | |
|---|---|---|
| Analysis started | 2025-03-18 22:15:08.354409 | 2025-03-18 22:15:10.549153 |
| Analysis finished | 2025-03-18 22:15:10.546299 | 2025-03-18 22:15:12.733948 |
| Duration | 2.19 seconds | 2.18 seconds |
| Software version | ydata-profiling v0.0.dev0 | ydata-profiling v0.0.dev0 |
| Download configuration | config.json | config.json |
Variables
PassengerId
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 446 | 446 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 447.7287 | 466.7287 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 8 | 1 |
| Maximum | 889 | 889 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 8 | 1 |
| 5-th percentile | 56.25 | 54.5 |
| Q1 | 235.5 | 249.25 |
| median | 452.5 | 475 |
| Q3 | 655.25 | 685.75 |
| 95-th percentile | 844.5 | 842.75 |
| Maximum | 889 | 889 |
| Range | 881 | 888 |
| Interquartile range (IQR) | 419.75 | 436.5 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 253.16026 | 252.4113 |
| Coefficient of variation (CV) | 0.56543228 | 0.54080947 |
| Kurtosis | -1.1520817 | -1.1763698 |
| Mean | 447.7287 | 466.7287 |
| Median Absolute Deviation (MAD) | 211 | 218 |
| Skewness | -0.028071942 | -0.092120283 |
| Sum | 199687 | 208161 |
| Variance | 64090.117 | 63711.466 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 596 | 1 | 0.2% |
| 555 | 1 | 0.2% |
| 879 | 1 | 0.2% |
| 185 | 1 | 0.2% |
| 382 | 1 | 0.2% |
| 504 | 1 | 0.2% |
| 339 | 1 | 0.2% |
| 616 | 1 | 0.2% |
| 70 | 1 | 0.2% |
| 64 | 1 | 0.2% |
| Other values (436) | 436 |
| Value | Count | Frequency (%) |
| 249 | 1 | 0.2% |
| 421 | 1 | 0.2% |
| 721 | 1 | 0.2% |
| 400 | 1 | 0.2% |
| 302 | 1 | 0.2% |
| 750 | 1 | 0.2% |
| 65 | 1 | 0.2% |
| 710 | 1 | 0.2% |
| 92 | 1 | 0.2% |
| 648 | 1 | 0.2% |
| Other values (436) | 436 |
| Value | Count | Frequency (%) |
| 8 | 1 | |
| 9 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 20 | 1 | |
| 23 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 7 | 1 | |
| 10 | 1 | |
| 12 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 21 | 1 | |
| 22 | 1 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 7 | 1 | |
| 10 | 1 | |
| 12 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 21 | 1 | |
| 22 | 1 |
| Value | Count | Frequency (%) |
| 8 | 1 | |
| 9 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 1 | |
| 20 | 1 | |
| 23 | 1 |
Survived
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| 0 | |
|---|---|
| 1 |
| 0 | |
|---|---|
| 1 |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 1 | 0 |
| 2nd row | 0 | 1 |
| 3rd row | 1 | 1 |
| 4th row | 1 | 1 |
| 5th row | 0 | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 271 | |
| 1 | 175 |
| Value | Count | Frequency (%) |
| 0 | 263 | |
| 1 | 183 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| 0 | 271 | |
| 1 | 175 |
| Value | Count | Frequency (%) |
| 0 | 263 | |
| 1 | 183 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 271 | |
| 1 | 175 |
| Value | Count | Frequency (%) |
| 0 | 263 | |
| 1 | 183 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 271 | |
| 1 | 175 |
| Value | Count | Frequency (%) |
| 0 | 263 | |
| 1 | 183 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 271 | |
| 1 | 175 |
| Value | Count | Frequency (%) |
| 0 | 263 | |
| 1 | 183 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 271 | |
| 1 | 175 |
| Value | Count | Frequency (%) |
| 0 | 263 | |
| 1 | 183 |
Pclass
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 3 | 3 |
| Distinct (%) | 0.7% | 0.7% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| 3 | |
|---|---|
| 1 | |
| 2 |
| 3 | |
|---|---|
| 1 | |
| 2 |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 3 | 3 |
| 2nd row | 3 | 2 |
| 3rd row | 3 | 2 |
| 4th row | 3 | 3 |
| 5th row | 3 | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 105 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 236 | |
| 1 | 110 | |
| 2 | 100 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 105 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 236 | |
| 1 | 110 | |
| 2 | 100 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 105 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 236 | |
| 1 | 110 | |
| 2 | 100 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 105 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 236 | |
| 1 | 110 | |
| 2 | 100 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 105 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 236 | |
| 1 | 110 | |
| 2 | 100 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 446 |
| Value | Count | Frequency (%) |
| (unknown) | 446 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 252 | |
| 1 | 105 | |
| 2 | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 3 | 236 | |
| 1 | 110 | |
| 2 | 100 |
Name
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 446 | 446 |
| Distinct (%) | 100.0% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 82 | 82 |
| Median length | 52 | 46 |
| Mean length | 26.82287 | 27.289238 |
| Min length | 12 | 12 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 446 | 446 ? |
| Unique (%) | 100.0% | 100.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | Ohman, Miss. Velin | Gheorgheff, Mr. Stanio |
| 2nd row | Laleff, Mr. Kristo | Harper, Miss. Annie Jessie "Nina" |
| 3rd row | Kink-Heilmann, Miss. Luise Gretchen | Trout, Mrs. William H (Jessie L) |
| 4th row | Nakid, Miss. Maria ("Mary") | McCoy, Mr. Bernard |
| 5th row | Laitinen, Miss. Kristina Sofia | Connaghton, Mr. Michael |
| Value | Count | Frequency (%) |
| mr | 256 | 14.2% |
| miss | 98 | 5.4% |
| mrs | 64 | 3.5% |
| william | 26 | 1.4% |
| master | 21 | 1.2% |
| john | 20 | 1.1% |
| george | 17 | 0.9% |
| edward | 15 | 0.8% |
| charles | 13 | 0.7% |
| henry | 12 | 0.7% |
| Other values (891) | 1262 |
| Value | Count | Frequency (%) |
| mr | 258 | 14.0% |
| miss | 84 | 4.6% |
| mrs | 71 | 3.9% |
| william | 28 | 1.5% |
| john | 25 | 1.4% |
| master | 22 | 1.2% |
| henry | 19 | 1.0% |
| charles | 15 | 0.8% |
| james | 11 | 0.6% |
| george | 11 | 0.6% |
| Other values (886) | 1300 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1359 | 11.4% | |
| r | 983 | 8.2% |
| e | 848 | 7.1% |
| a | 827 | 6.9% |
| s | 663 | 5.5% |
| i | 645 | 5.4% |
| n | 616 | 5.1% |
| M | 569 | 4.8% |
| l | 529 | 4.4% |
| o | 504 | 4.2% |
| Other values (50) | 4420 |
| Value | Count | Frequency (%) |
| 1399 | 11.5% | |
| r | 1000 | 8.2% |
| e | 882 | 7.2% |
| a | 842 | 6.9% |
| n | 659 | 5.4% |
| s | 653 | 5.4% |
| i | 651 | 5.3% |
| M | 578 | 4.7% |
| l | 552 | 4.5% |
| o | 509 | 4.2% |
| Other values (50) | 4446 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 11963 |
| Value | Count | Frequency (%) |
| (unknown) | 12171 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1359 | 11.4% | |
| r | 983 | 8.2% |
| e | 848 | 7.1% |
| a | 827 | 6.9% |
| s | 663 | 5.5% |
| i | 645 | 5.4% |
| n | 616 | 5.1% |
| M | 569 | 4.8% |
| l | 529 | 4.4% |
| o | 504 | 4.2% |
| Other values (50) | 4420 |
| Value | Count | Frequency (%) |
| 1399 | 11.5% | |
| r | 1000 | 8.2% |
| e | 882 | 7.2% |
| a | 842 | 6.9% |
| n | 659 | 5.4% |
| s | 653 | 5.4% |
| i | 651 | 5.3% |
| M | 578 | 4.7% |
| l | 552 | 4.5% |
| o | 509 | 4.2% |
| Other values (50) | 4446 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 11963 |
| Value | Count | Frequency (%) |
| (unknown) | 12171 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1359 | 11.4% | |
| r | 983 | 8.2% |
| e | 848 | 7.1% |
| a | 827 | 6.9% |
| s | 663 | 5.5% |
| i | 645 | 5.4% |
| n | 616 | 5.1% |
| M | 569 | 4.8% |
| l | 529 | 4.4% |
| o | 504 | 4.2% |
| Other values (50) | 4420 |
| Value | Count | Frequency (%) |
| 1399 | 11.5% | |
| r | 1000 | 8.2% |
| e | 882 | 7.2% |
| a | 842 | 6.9% |
| n | 659 | 5.4% |
| s | 653 | 5.4% |
| i | 651 | 5.3% |
| M | 578 | 4.7% |
| l | 552 | 4.5% |
| o | 509 | 4.2% |
| Other values (50) | 4446 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 11963 |
| Value | Count | Frequency (%) |
| (unknown) | 12171 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1359 | 11.4% | |
| r | 983 | 8.2% |
| e | 848 | 7.1% |
| a | 827 | 6.9% |
| s | 663 | 5.5% |
| i | 645 | 5.4% |
| n | 616 | 5.1% |
| M | 569 | 4.8% |
| l | 529 | 4.4% |
| o | 504 | 4.2% |
| Other values (50) | 4420 |
| Value | Count | Frequency (%) |
| 1399 | 11.5% | |
| r | 1000 | 8.2% |
| e | 882 | 7.2% |
| a | 842 | 6.9% |
| n | 659 | 5.4% |
| s | 653 | 5.4% |
| i | 651 | 5.3% |
| M | 578 | 4.7% |
| l | 552 | 4.5% |
| o | 509 | 4.2% |
| Other values (50) | 4446 |
Sex
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | 0.4% | 0.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
| male | |
|---|---|
| female |
| male | |
|---|---|
| female |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 6 | 6 |
| Median length | 4 | 4 |
| Mean length | 4.7264574 | 4.6950673 |
| Min length | 4 | 4 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | female | male |
| 2nd row | male | female |
| 3rd row | female | female |
| 4th row | female | male |
| 5th row | female | male |
Common Values
| Value | Count | Frequency (%) |
| male | 284 | |
| female | 162 |
| Value | Count | Frequency (%) |
| male | 291 | |
| female | 155 |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| male | 284 | |
| female | 162 |
| Value | Count | Frequency (%) |
| male | 291 | |
| female | 155 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 608 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 162 | 7.7% |
| Value | Count | Frequency (%) |
| e | 601 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 155 | 7.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2108 |
| Value | Count | Frequency (%) |
| (unknown) | 2094 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| e | 608 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 162 | 7.7% |
| Value | Count | Frequency (%) |
| e | 601 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 155 | 7.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2108 |
| Value | Count | Frequency (%) |
| (unknown) | 2094 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| e | 608 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 162 | 7.7% |
| Value | Count | Frequency (%) |
| e | 601 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 155 | 7.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2108 |
| Value | Count | Frequency (%) |
| (unknown) | 2094 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| e | 608 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 162 | 7.7% |
| Value | Count | Frequency (%) |
| e | 601 | |
| m | 446 | |
| a | 446 | |
| l | 446 | |
| f | 155 | 7.4% |
Age
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 75 | 80 |
| Distinct (%) | 21.1% | 22.4% |
| Missing | 90 | 89 |
| Missing (%) | 20.2% | 20.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 29.233848 | 29.598515 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0.67 | 0.67 |
| Maximum | 80 | 71 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0.67 | 0.67 |
| 5-th percentile | 4 | 4 |
| Q1 | 19 | 20 |
| median | 28 | 28 |
| Q3 | 38.25 | 39 |
| 95-th percentile | 57.25 | 57.2 |
| Maximum | 80 | 71 |
| Range | 79.33 | 70.33 |
| Interquartile range (IQR) | 19.25 | 19 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 15.02385 | 14.648748 |
| Coefficient of variation (CV) | 0.51391968 | 0.49491496 |
| Kurtosis | 0.2882204 | -0.01277809 |
| Mean | 29.233848 | 29.598515 |
| Median Absolute Deviation (MAD) | 9 | 9 |
| Skewness | 0.47632867 | 0.36455786 |
| Sum | 10407.25 | 10566.67 |
| Variance | 225.71607 | 214.58582 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 18 | 16 | 3.6% |
| 24 | 14 | 3.1% |
| 22 | 13 | 2.9% |
| 19 | 13 | 2.9% |
| 28 | 12 | 2.7% |
| 30 | 12 | 2.7% |
| 32 | 11 | 2.5% |
| 21 | 11 | 2.5% |
| 20 | 11 | 2.5% |
| 16 | 11 | 2.5% |
| Other values (65) | 232 | |
| (Missing) | 90 | 20.2% |
| Value | Count | Frequency (%) |
| 24 | 17 | 3.8% |
| 25 | 15 | 3.4% |
| 19 | 14 | 3.1% |
| 18 | 13 | 2.9% |
| 31 | 12 | 2.7% |
| 27 | 12 | 2.7% |
| 22 | 12 | 2.7% |
| 28 | 11 | 2.5% |
| 29 | 11 | 2.5% |
| 23 | 11 | 2.5% |
| Other values (70) | 229 | |
| (Missing) | 89 | 20.0% |
| Value | Count | Frequency (%) |
| 0.67 | 1 | 0.2% |
| 0.83 | 2 | 0.4% |
| 0.92 | 1 | 0.2% |
| 1 | 3 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 2 | 0.4% |
| 7 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0.67 | 1 | 0.2% |
| 0.75 | 1 | 0.2% |
| 0.83 | 1 | 0.2% |
| 0.92 | 1 | 0.2% |
| 1 | 3 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0.67 | 1 | 0.2% |
| 0.75 | 1 | 0.2% |
| 0.83 | 1 | 0.2% |
| 0.92 | 1 | 0.2% |
| 1 | 3 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0.67 | 1 | 0.2% |
| 0.83 | 2 | 0.4% |
| 0.92 | 1 | 0.2% |
| 1 | 3 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 2 | 0.4% |
| 7 | 2 | 0.4% |
SibSp
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 7 | 7 |
| Distinct (%) | 1.6% | 1.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.57847534 | 0.47982063 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 8 | 8 |
| Zeros | 300 | 303 |
| Zeros (%) | 67.3% | 67.9% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 0 | 0 |
| Q3 | 1 | 1 |
| 95-th percentile | 3 | 2 |
| Maximum | 8 | 8 |
| Range | 8 | 8 |
| Interquartile range (IQR) | 1 | 1 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 1.196205 | 0.96141093 |
| Coefficient of variation (CV) | 2.0678583 | 2.0036882 |
| Kurtosis | 14.377305 | 19.451332 |
| Mean | 0.57847534 | 0.47982063 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 3.3821985 | 3.6544422 |
| Sum | 258 | 214 |
| Variance | 1.4309064 | 0.92431098 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 300 | |
| 1 | 103 | 23.1% |
| 2 | 13 | 2.9% |
| 3 | 11 | 2.5% |
| 4 | 11 | 2.5% |
| 8 | 4 | 0.9% |
| 5 | 4 | 0.9% |
| Value | Count | Frequency (%) |
| 0 | 303 | |
| 1 | 110 | 24.7% |
| 2 | 15 | 3.4% |
| 4 | 8 | 1.8% |
| 3 | 7 | 1.6% |
| 8 | 2 | 0.4% |
| 5 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 300 | |
| 1 | 103 | 23.1% |
| 2 | 13 | 2.9% |
| 3 | 11 | 2.5% |
| 4 | 11 | 2.5% |
| 5 | 4 | 0.9% |
| 8 | 4 | 0.9% |
| Value | Count | Frequency (%) |
| 0 | 303 | |
| 1 | 110 | 24.7% |
| 2 | 15 | 3.4% |
| 3 | 7 | 1.6% |
| 4 | 8 | 1.8% |
| 5 | 1 | 0.2% |
| 8 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 303 | |
| 1 | 110 | 24.7% |
| 2 | 15 | 3.4% |
| 3 | 7 | 1.6% |
| 4 | 8 | 1.8% |
| 5 | 1 | 0.2% |
| 8 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 300 | |
| 1 | 103 | 23.1% |
| 2 | 13 | 2.9% |
| 3 | 11 | 2.5% |
| 4 | 11 | 2.5% |
| 5 | 4 | 0.9% |
| 8 | 4 | 0.9% |
Parch
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 6 | 7 |
| Distinct (%) | 1.3% | 1.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 0.40358744 | 0.39910314 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 5 | 6 |
| Zeros | 328 | 337 |
| Zeros (%) | 73.5% | 75.6% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 0 | 0 |
| Q3 | 1 | 0 |
| 95-th percentile | 2 | 2 |
| Maximum | 5 | 6 |
| Range | 5 | 6 |
| Interquartile range (IQR) | 1 | 0 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 0.77511037 | 0.8519108 |
| Coefficient of variation (CV) | 1.9205513 | 2.134563 |
| Kurtosis | 6.4814512 | 11.344166 |
| Mean | 0.40358744 | 0.39910314 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 2.2732871 | 2.9462133 |
| Sum | 180 | 178 |
| Variance | 0.60079609 | 0.725752 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 328 | |
| 1 | 67 | 15.0% |
| 2 | 45 | 10.1% |
| 3 | 3 | 0.7% |
| 5 | 2 | 0.4% |
| 4 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 337 | |
| 1 | 60 | 13.5% |
| 2 | 41 | 9.2% |
| 5 | 4 | 0.9% |
| 3 | 2 | 0.4% |
| 6 | 1 | 0.2% |
| 4 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 328 | |
| 1 | 67 | 15.0% |
| 2 | 45 | 10.1% |
| 3 | 3 | 0.7% |
| 4 | 1 | 0.2% |
| 5 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 337 | |
| 1 | 60 | 13.5% |
| 2 | 41 | 9.2% |
| 3 | 2 | 0.4% |
| 4 | 1 | 0.2% |
| 5 | 4 | 0.9% |
| 6 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 337 | |
| 1 | 60 | 13.5% |
| 2 | 41 | 9.2% |
| 3 | 2 | 0.4% |
| 4 | 1 | 0.2% |
| 5 | 4 | 0.9% |
| 6 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 328 | |
| 1 | 67 | 15.0% |
| 2 | 45 | 10.1% |
| 3 | 3 | 0.7% |
| 4 | 1 | 0.2% |
| 5 | 2 | 0.4% |
Ticket
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 373 | 374 |
| Distinct (%) | 83.6% | 83.9% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 18 | 18 |
| Median length | 17 | 17 |
| Mean length | 6.6883408 | 6.7869955 |
| Min length | 3 | 3 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 320 | 313 ? |
| Unique (%) | 71.7% | 70.2% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | 347085 | 349254 |
| 2nd row | 349217 | 248727 |
| 3rd row | 315153 | 240929 |
| 4th row | 2653 | 367226 |
| 5th row | 4135 | 335097 |
| Value | Count | Frequency (%) |
| pc | 30 | 5.3% |
| c.a | 11 | 2.0% |
| ca | 8 | 1.4% |
| 2 | 6 | 1.1% |
| ston/o | 6 | 1.1% |
| a/5 | 6 | 1.1% |
| 1601 | 5 | 0.9% |
| soton/o.q | 5 | 0.9% |
| w./c | 4 | 0.7% |
| f.c.c | 4 | 0.7% |
| Other values (391) | 476 |
| Value | Count | Frequency (%) |
| pc | 28 | 4.9% |
| c.a | 11 | 1.9% |
| a/5 | 10 | 1.8% |
| 2 | 8 | 1.4% |
| ston/o | 8 | 1.4% |
| sc/paris | 6 | 1.1% |
| w./c | 5 | 0.9% |
| soton/o.q | 5 | 0.9% |
| a/4 | 4 | 0.7% |
| ca | 4 | 0.7% |
| Other values (395) | 479 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 373 | |
| 1 | 333 | |
| 2 | 286 | |
| 7 | 271 | |
| 4 | 243 | |
| 6 | 210 | 7.0% |
| 0 | 204 | 6.8% |
| 5 | 197 | 6.6% |
| 9 | 153 | 5.1% |
| 8 | 131 | 4.4% |
| Other values (24) | 582 |
| Value | Count | Frequency (%) |
| 3 | 363 | |
| 1 | 356 | |
| 2 | 294 | |
| 7 | 242 | 8.0% |
| 4 | 235 | 7.8% |
| 6 | 220 | 7.3% |
| 0 | 201 | 6.6% |
| 5 | 183 | 6.0% |
| 9 | 161 | 5.3% |
| 8 | 146 | 4.8% |
| Other values (25) | 626 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 2983 |
| Value | Count | Frequency (%) |
| (unknown) | 3027 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 373 | |
| 1 | 333 | |
| 2 | 286 | |
| 7 | 271 | |
| 4 | 243 | |
| 6 | 210 | 7.0% |
| 0 | 204 | 6.8% |
| 5 | 197 | 6.6% |
| 9 | 153 | 5.1% |
| 8 | 131 | 4.4% |
| Other values (24) | 582 |
| Value | Count | Frequency (%) |
| 3 | 363 | |
| 1 | 356 | |
| 2 | 294 | |
| 7 | 242 | 8.0% |
| 4 | 235 | 7.8% |
| 6 | 220 | 7.3% |
| 0 | 201 | 6.6% |
| 5 | 183 | 6.0% |
| 9 | 161 | 5.3% |
| 8 | 146 | 4.8% |
| Other values (25) | 626 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 2983 |
| Value | Count | Frequency (%) |
| (unknown) | 3027 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 373 | |
| 1 | 333 | |
| 2 | 286 | |
| 7 | 271 | |
| 4 | 243 | |
| 6 | 210 | 7.0% |
| 0 | 204 | 6.8% |
| 5 | 197 | 6.6% |
| 9 | 153 | 5.1% |
| 8 | 131 | 4.4% |
| Other values (24) | 582 |
| Value | Count | Frequency (%) |
| 3 | 363 | |
| 1 | 356 | |
| 2 | 294 | |
| 7 | 242 | 8.0% |
| 4 | 235 | 7.8% |
| 6 | 220 | 7.3% |
| 0 | 201 | 6.6% |
| 5 | 183 | 6.0% |
| 9 | 161 | 5.3% |
| 8 | 146 | 4.8% |
| Other values (25) | 626 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 2983 |
| Value | Count | Frequency (%) |
| (unknown) | 3027 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 373 | |
| 1 | 333 | |
| 2 | 286 | |
| 7 | 271 | |
| 4 | 243 | |
| 6 | 210 | 7.0% |
| 0 | 204 | 6.8% |
| 5 | 197 | 6.6% |
| 9 | 153 | 5.1% |
| 8 | 131 | 4.4% |
| Other values (24) | 582 |
| Value | Count | Frequency (%) |
| 3 | 363 | |
| 1 | 356 | |
| 2 | 294 | |
| 7 | 242 | 8.0% |
| 4 | 235 | 7.8% |
| 6 | 220 | 7.3% |
| 0 | 201 | 6.6% |
| 5 | 183 | 6.0% |
| 9 | 161 | 5.3% |
| 8 | 146 | 4.8% |
| Other values (25) | 626 |
Fare
Real number (ℝ)
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 186 | 184 |
| Distinct (%) | 41.7% | 41.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 33.8152 | 29.989172 |
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 512.3292 | 263 |
| Zeros | 5 | 7 |
| Zeros (%) | 1.1% | 1.6% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 7.0 KiB | 7.0 KiB |
Quantile statistics
| Dataset A | Dataset B | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 7.2292 | 7.129175 |
| Q1 | 8.05 | 7.925 |
| median | 15.2458 | 15.2458 |
| Q3 | 32.087475 | 31.275 |
| 95-th percentile | 110.8833 | 90.8094 |
| Maximum | 512.3292 | 263 |
| Range | 512.3292 | 263 |
| Interquartile range (IQR) | 24.037475 | 23.35 |
Descriptive statistics
| Dataset A | Dataset B | |
|---|---|---|
| Standard deviation | 52.552199 | 37.816109 |
| Coefficient of variation (CV) | 1.5540999 | 1.2609921 |
| Kurtosis | 33.442384 | 14.164912 |
| Mean | 33.8152 | 29.989172 |
| Median Absolute Deviation (MAD) | 7.5062 | 7.9958 |
| Skewness | 4.8354743 | 3.3008988 |
| Sum | 15081.579 | 13375.171 |
| Variance | 2761.7336 | 1430.0581 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8.05 | 24 | 5.4% |
| 7.8958 | 18 | 4.0% |
| 13 | 18 | 4.0% |
| 26 | 17 | 3.8% |
| 7.75 | 16 | 3.6% |
| 10.5 | 11 | 2.5% |
| 7.925 | 10 | 2.2% |
| 7.775 | 9 | 2.0% |
| 7.8542 | 8 | 1.8% |
| 8.6625 | 8 | 1.8% |
| Other values (176) | 307 |
| Value | Count | Frequency (%) |
| 8.05 | 22 | 4.9% |
| 13 | 22 | 4.9% |
| 7.75 | 20 | 4.5% |
| 26 | 18 | 4.0% |
| 7.8958 | 12 | 2.7% |
| 10.5 | 12 | 2.7% |
| 7.925 | 8 | 1.8% |
| 7.225 | 7 | 1.6% |
| 0 | 7 | 1.6% |
| 7.775 | 7 | 1.6% |
| Other values (174) | 311 |
| Value | Count | Frequency (%) |
| 0 | 5 | |
| 4.0125 | 1 | 0.2% |
| 5 | 1 | 0.2% |
| 6.8583 | 1 | 0.2% |
| 6.95 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| 7.0458 | 1 | 0.2% |
| 7.05 | 3 | |
| 7.0542 | 1 | 0.2% |
| 7.125 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 7 | |
| 4.0125 | 1 | 0.2% |
| 6.2375 | 1 | 0.2% |
| 6.45 | 1 | 0.2% |
| 6.4958 | 2 | 0.4% |
| 6.8583 | 1 | 0.2% |
| 6.95 | 1 | 0.2% |
| 6.975 | 2 | 0.4% |
| 7.05 | 4 | |
| 7.125 | 3 |
| Value | Count | Frequency (%) |
| 0 | 7 | |
| 4.0125 | 1 | 0.2% |
| 6.2375 | 1 | 0.2% |
| 6.45 | 1 | 0.2% |
| 6.4958 | 2 | 0.4% |
| 6.8583 | 1 | 0.2% |
| 6.95 | 1 | 0.2% |
| 6.975 | 2 | 0.4% |
| 7.05 | 4 | |
| 7.125 | 3 |
| Value | Count | Frequency (%) |
| 0 | 5 | |
| 4.0125 | 1 | 0.2% |
| 5 | 1 | 0.2% |
| 6.8583 | 1 | 0.2% |
| 6.95 | 1 | 0.2% |
| 6.975 | 1 | 0.2% |
| 7.0458 | 1 | 0.2% |
| 7.05 | 3 | |
| 7.0542 | 1 | 0.2% |
| 7.125 | 1 | 0.2% |
Cabin
['Text', 'Text']
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 90 | 93 |
| Distinct (%) | 90.0% | 84.5% |
| Missing | 346 | 336 |
| Missing (%) | 77.6% | 75.3% |
| Memory size | 7.0 KiB | 7.0 KiB |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 11 | 15 |
| Median length | 3 | 3 |
| Mean length | 3.49 | 3.5181818 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 81 | 77 ? |
| Unique (%) | 81.0% | 70.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | E33 | A26 |
| 2nd row | B50 | C46 |
| 3rd row | D19 | E44 |
| 4th row | B101 | D36 |
| 5th row | B20 | C82 |
| Value | Count | Frequency (%) |
| d | 3 | 2.6% |
| e33 | 2 | 1.8% |
| c52 | 2 | 1.8% |
| g6 | 2 | 1.8% |
| c78 | 2 | 1.8% |
| b77 | 2 | 1.8% |
| b58 | 2 | 1.8% |
| b60 | 2 | 1.8% |
| b51 | 2 | 1.8% |
| b53 | 2 | 1.8% |
| Other values (91) | 93 |
| Value | Count | Frequency (%) |
| g6 | 3 | 2.4% |
| f | 3 | 2.4% |
| b77 | 2 | 1.6% |
| c123 | 2 | 1.6% |
| c22 | 2 | 1.6% |
| c26 | 2 | 1.6% |
| c2 | 2 | 1.6% |
| b20 | 2 | 1.6% |
| c92 | 2 | 1.6% |
| b96 | 2 | 1.6% |
| Other values (94) | 105 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 35 | |
| C | 35 | |
| B | 34 | |
| 2 | 33 | 9.5% |
| 5 | 27 | 7.7% |
| 3 | 25 | 7.2% |
| 6 | 22 | 6.3% |
| 0 | 19 | 5.4% |
| 8 | 18 | 5.2% |
| D | 18 | 5.2% |
| Other values (8) | 83 |
| Value | Count | Frequency (%) |
| 2 | 42 | 10.9% |
| C | 37 | 9.6% |
| 1 | 34 | 8.8% |
| B | 29 | 7.5% |
| 6 | 29 | 7.5% |
| 4 | 26 | 6.7% |
| 3 | 25 | 6.5% |
| E | 21 | 5.4% |
| D | 20 | 5.2% |
| 7 | 19 | 4.9% |
| Other values (9) | 105 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 349 |
| Value | Count | Frequency (%) |
| (unknown) | 387 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 35 | |
| C | 35 | |
| B | 34 | |
| 2 | 33 | 9.5% |
| 5 | 27 | 7.7% |
| 3 | 25 | 7.2% |
| 6 | 22 | 6.3% |
| 0 | 19 | 5.4% |
| 8 | 18 | 5.2% |
| D | 18 | 5.2% |
| Other values (8) | 83 |
| Value | Count | Frequency (%) |
| 2 | 42 | 10.9% |
| C | 37 | 9.6% |
| 1 | 34 | 8.8% |
| B | 29 | 7.5% |
| 6 | 29 | 7.5% |
| 4 | 26 | 6.7% |
| 3 | 25 | 6.5% |
| E | 21 | 5.4% |
| D | 20 | 5.2% |
| 7 | 19 | 4.9% |
| Other values (9) | 105 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 349 |
| Value | Count | Frequency (%) |
| (unknown) | 387 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 35 | |
| C | 35 | |
| B | 34 | |
| 2 | 33 | 9.5% |
| 5 | 27 | 7.7% |
| 3 | 25 | 7.2% |
| 6 | 22 | 6.3% |
| 0 | 19 | 5.4% |
| 8 | 18 | 5.2% |
| D | 18 | 5.2% |
| Other values (8) | 83 |
| Value | Count | Frequency (%) |
| 2 | 42 | 10.9% |
| C | 37 | 9.6% |
| 1 | 34 | 8.8% |
| B | 29 | 7.5% |
| 6 | 29 | 7.5% |
| 4 | 26 | 6.7% |
| 3 | 25 | 6.5% |
| E | 21 | 5.4% |
| D | 20 | 5.2% |
| 7 | 19 | 4.9% |
| Other values (9) | 105 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 349 |
| Value | Count | Frequency (%) |
| (unknown) | 387 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 35 | |
| C | 35 | |
| B | 34 | |
| 2 | 33 | 9.5% |
| 5 | 27 | 7.7% |
| 3 | 25 | 7.2% |
| 6 | 22 | 6.3% |
| 0 | 19 | 5.4% |
| 8 | 18 | 5.2% |
| D | 18 | 5.2% |
| Other values (8) | 83 |
| Value | Count | Frequency (%) |
| 2 | 42 | 10.9% |
| C | 37 | 9.6% |
| 1 | 34 | 8.8% |
| B | 29 | 7.5% |
| 6 | 29 | 7.5% |
| 4 | 26 | 6.7% |
| 3 | 25 | 6.5% |
| E | 21 | 5.4% |
| D | 20 | 5.2% |
| 7 | 19 | 4.9% |
| Other values (9) | 105 |
Embarked
Categorical
| Dataset A | Dataset B | |
|---|---|---|
| Distinct | 3 | 3 |
| Distinct (%) | 0.7% | 0.7% |
| Missing | 1 | 1 |
| Missing (%) | 0.2% | 0.2% |
| Memory size | 7.0 KiB | 7.0 KiB |
| S | |
|---|---|
| C | |
| Q |
| S | |
|---|---|
| C | |
| Q |
Length
| Dataset A | Dataset B | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Unique
| Dataset A | Dataset B | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Dataset A | Dataset B | |
|---|---|---|
| 1st row | S | C |
| 2nd row | S | S |
| 3rd row | S | S |
| 4th row | C | Q |
| 5th row | S | Q |
Common Values
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 85 | 19.1% |
| Q | 42 | 9.4% |
| (Missing) | 1 | 0.2% |
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 90 | 20.2% |
| Q | 37 | 8.3% |
| (Missing) | 1 | 0.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
Dataset A
Dataset B
| Value | Count | Frequency (%) |
| s | 318 | |
| c | 85 | 19.1% |
| q | 42 | 9.4% |
| Value | Count | Frequency (%) |
| s | 318 | |
| c | 90 | 20.2% |
| q | 37 | 8.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 85 | 19.1% |
| Q | 42 | 9.4% |
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 90 | 20.2% |
| Q | 37 | 8.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 445 |
| Value | Count | Frequency (%) |
| (unknown) | 445 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 85 | 19.1% |
| Q | 42 | 9.4% |
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 90 | 20.2% |
| Q | 37 | 8.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 445 |
| Value | Count | Frequency (%) |
| (unknown) | 445 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 85 | 19.1% |
| Q | 42 | 9.4% |
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 90 | 20.2% |
| Q | 37 | 8.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 445 |
| Value | Count | Frequency (%) |
| (unknown) | 445 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 85 | 19.1% |
| Q | 42 | 9.4% |
| Value | Count | Frequency (%) |
| S | 318 | |
| C | 90 | 20.2% |
| Q | 37 | 8.3% |
Interactions
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Dataset A
Dataset B
Correlations
Dataset A
Dataset B
Dataset A
| Age | Embarked | Fare | Parch | PassengerId | Pclass | Sex | SibSp | Survived | |
|---|---|---|---|---|---|---|---|---|---|
| Age | 1.000 | 0.114 | 0.082 | -0.308 | 0.046 | 0.205 | 0.108 | -0.181 | 0.142 |
| Embarked | 0.114 | 1.000 | 0.224 | 0.027 | 0.000 | 0.280 | 0.066 | 0.098 | 0.161 |
| Fare | 0.082 | 0.224 | 1.000 | 0.380 | -0.053 | 0.494 | 0.160 | 0.417 | 0.256 |
| Parch | -0.308 | 0.027 | 0.380 | 1.000 | -0.015 | 0.000 | 0.263 | 0.429 | 0.111 |
| PassengerId | 0.046 | 0.000 | -0.053 | -0.015 | 1.000 | 0.000 | 0.083 | -0.044 | 0.178 |
| Pclass | 0.205 | 0.280 | 0.494 | 0.000 | 0.000 | 1.000 | 0.087 | 0.143 | 0.318 |
| Sex | 0.108 | 0.066 | 0.160 | 0.263 | 0.083 | 0.087 | 1.000 | 0.169 | 0.533 |
| SibSp | -0.181 | 0.098 | 0.417 | 0.429 | -0.044 | 0.143 | 0.169 | 1.000 | 0.130 |
| Survived | 0.142 | 0.161 | 0.256 | 0.111 | 0.178 | 0.318 | 0.533 | 0.130 | 1.000 |
Dataset B
| Age | Embarked | Fare | Parch | PassengerId | Pclass | Sex | SibSp | Survived | |
|---|---|---|---|---|---|---|---|---|---|
| Age | 1.000 | 0.000 | 0.092 | -0.278 | 0.076 | 0.235 | 0.055 | -0.175 | 0.169 |
| Embarked | 0.000 | 1.000 | 0.256 | 0.000 | 0.023 | 0.288 | 0.107 | 0.093 | 0.186 |
| Fare | 0.092 | 0.256 | 1.000 | 0.401 | 0.048 | 0.564 | 0.210 | 0.481 | 0.297 |
| Parch | -0.278 | 0.000 | 0.401 | 1.000 | 0.056 | 0.072 | 0.256 | 0.430 | 0.136 |
| PassengerId | 0.076 | 0.023 | 0.048 | 0.056 | 1.000 | 0.000 | 0.127 | -0.009 | 0.107 |
| Pclass | 0.235 | 0.288 | 0.564 | 0.072 | 0.000 | 1.000 | 0.160 | 0.164 | 0.354 |
| Sex | 0.055 | 0.107 | 0.210 | 0.256 | 0.127 | 0.160 | 1.000 | 0.194 | 0.534 |
| SibSp | -0.175 | 0.093 | 0.481 | 0.430 | -0.009 | 0.164 | 0.194 | 1.000 | 0.218 |
| Survived | 0.169 | 0.186 | 0.297 | 0.136 | 0.107 | 0.354 | 0.534 | 0.218 | 1.000 |
Missing values
Dataset A
A simple visualization of nullity by column.
Dataset B
A simple visualization of nullity by column.
Dataset A
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Dataset B
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Dataset A
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
Dataset B
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
Sample
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 554 | 555 | 1 | 3 | Ohman, Miss. Velin | female | 22.0 | 0 | 0 | 347085 | 7.7750 | NaN | S |
| 878 | 879 | 0 | 3 | Laleff, Mr. Kristo | male | NaN | 0 | 0 | 349217 | 7.8958 | NaN | S |
| 184 | 185 | 1 | 3 | Kink-Heilmann, Miss. Luise Gretchen | female | 4.0 | 0 | 2 | 315153 | 22.0250 | NaN | S |
| 381 | 382 | 1 | 3 | Nakid, Miss. Maria ("Mary") | female | 1.0 | 0 | 2 | 2653 | 15.7417 | NaN | C |
| 503 | 504 | 0 | 3 | Laitinen, Miss. Kristina Sofia | female | 37.0 | 0 | 0 | 4135 | 9.5875 | NaN | S |
| 338 | 339 | 1 | 3 | Dahl, Mr. Karl Edwart | male | 45.0 | 0 | 0 | 7598 | 8.0500 | NaN | S |
| 615 | 616 | 1 | 2 | Herman, Miss. Alice | female | 24.0 | 1 | 2 | 220845 | 65.0000 | NaN | S |
| 69 | 70 | 0 | 3 | Kink, Mr. Vincenz | male | 26.0 | 2 | 0 | 315151 | 8.6625 | NaN | S |
| 63 | 64 | 0 | 3 | Skoog, Master. Harald | male | 4.0 | 3 | 2 | 347088 | 27.9000 | NaN | S |
| 778 | 779 | 0 | 3 | Kilgannon, Mr. Thomas J | male | NaN | 0 | 0 | 36865 | 7.7375 | NaN | Q |
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 420 | 421 | 0 | 3 | Gheorgheff, Mr. Stanio | male | NaN | 0 | 0 | 349254 | 7.8958 | NaN | C |
| 720 | 721 | 1 | 2 | Harper, Miss. Annie Jessie "Nina" | female | 6.0 | 0 | 1 | 248727 | 33.0000 | NaN | S |
| 399 | 400 | 1 | 2 | Trout, Mrs. William H (Jessie L) | female | 28.0 | 0 | 0 | 240929 | 12.6500 | NaN | S |
| 301 | 302 | 1 | 3 | McCoy, Mr. Bernard | male | NaN | 2 | 0 | 367226 | 23.2500 | NaN | Q |
| 749 | 750 | 0 | 3 | Connaghton, Mr. Michael | male | 31.0 | 0 | 0 | 335097 | 7.7500 | NaN | Q |
| 64 | 65 | 0 | 1 | Stewart, Mr. Albert A | male | NaN | 0 | 0 | PC 17605 | 27.7208 | NaN | C |
| 709 | 710 | 1 | 3 | Moubarek, Master. Halim Gonios ("William George") | male | NaN | 1 | 1 | 2661 | 15.2458 | NaN | C |
| 91 | 92 | 0 | 3 | Andreasson, Mr. Paul Edvin | male | 20.0 | 0 | 0 | 347466 | 7.8542 | NaN | S |
| 647 | 648 | 1 | 1 | Simonius-Blumer, Col. Oberst Alfons | male | 56.0 | 0 | 0 | 13213 | 35.5000 | A26 | C |
| 769 | 770 | 0 | 3 | Gronnestad, Mr. Daniel Danielsen | male | 32.0 | 0 | 0 | 8471 | 8.3625 | NaN | S |
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 643 | 644 | 1 | 3 | Foo, Mr. Choong | male | NaN | 0 | 0 | 1601 | 56.4958 | NaN | S |
| 626 | 627 | 0 | 2 | Kirkland, Rev. Charles Leonard | male | 57.0 | 0 | 0 | 219533 | 12.3500 | NaN | Q |
| 355 | 356 | 0 | 3 | Vanden Steen, Mr. Leo Peter | male | 28.0 | 0 | 0 | 345783 | 9.5000 | NaN | S |
| 309 | 310 | 1 | 1 | Francatelli, Miss. Laura Mabel | female | 30.0 | 0 | 0 | PC 17485 | 56.9292 | E36 | C |
| 681 | 682 | 1 | 1 | Hassab, Mr. Hammad | male | 27.0 | 0 | 0 | PC 17572 | 76.7292 | D49 | C |
| 542 | 543 | 0 | 3 | Andersson, Miss. Sigrid Elisabeth | female | 11.0 | 4 | 2 | 347082 | 31.2750 | NaN | S |
| 283 | 284 | 1 | 3 | Dorking, Mr. Edward Arthur | male | 19.0 | 0 | 0 | A/5. 10482 | 8.0500 | NaN | S |
| 54 | 55 | 0 | 1 | Ostby, Mr. Engelhart Cornelius | male | 65.0 | 0 | 1 | 113509 | 61.9792 | B30 | C |
| 529 | 530 | 0 | 2 | Hocking, Mr. Richard George | male | 23.0 | 2 | 1 | 29104 | 11.5000 | NaN | S |
| 595 | 596 | 0 | 3 | Van Impe, Mr. Jean Baptiste | male | 36.0 | 1 | 1 | 345773 | 24.1500 | NaN | S |
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 146 | 147 | 1 | 3 | Andersson, Mr. August Edvard ("Wennerstrom") | male | 27.0 | 0 | 0 | 350043 | 7.7958 | NaN | S |
| 734 | 735 | 0 | 2 | Troupiansky, Mr. Moses Aaron | male | 23.0 | 0 | 0 | 233639 | 13.0000 | NaN | S |
| 797 | 798 | 1 | 3 | Osman, Mrs. Mara | female | 31.0 | 0 | 0 | 349244 | 8.6833 | NaN | S |
| 249 | 250 | 0 | 2 | Carter, Rev. Ernest Courtenay | male | 54.0 | 1 | 0 | 244252 | 26.0000 | NaN | S |
| 187 | 188 | 1 | 1 | Romaine, Mr. Charles Hallace ("Mr C Rolmane") | male | 45.0 | 0 | 0 | 111428 | 26.5500 | NaN | S |
| 659 | 660 | 0 | 1 | Newell, Mr. Arthur Webster | male | 58.0 | 0 | 2 | 35273 | 113.2750 | D48 | C |
| 370 | 371 | 1 | 1 | Harder, Mr. George Achilles | male | 25.0 | 1 | 0 | 11765 | 55.4417 | E50 | C |
| 321 | 322 | 0 | 3 | Danoff, Mr. Yoto | male | 27.0 | 0 | 0 | 349219 | 7.8958 | NaN | S |
| 723 | 724 | 0 | 2 | Hodges, Mr. Henry Price | male | 50.0 | 0 | 0 | 250643 | 13.0000 | NaN | S |
| 248 | 249 | 1 | 1 | Beckwith, Mr. Richard Leonard | male | 37.0 | 1 | 1 | 11751 | 52.5542 | D35 | S |
Duplicate rows
Dataset A
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||
Dataset B
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||